Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Towards Resilient Interconnected Urban Infrastructures : The Nexus Between Energy System, Urban Morphology, and Transportation Network

Javanroodi, Kavan LU ; Perera, Amarasinghage T.D. ; Nik, Vahid M. LU orcid and Scartezzini, Jean Louis (2023) 5th International Conference on Building Energy and Environment, COBEE 2022 In Environmental Science and Engineering p.2739-2749
Abstract

Compound optimization of distributed energy systems, urban morphology, and the transportation network is crucial to improving the robustness of interconnected urban energy infrastructures and enhancing their resilience to extreme climate events. Available methods and tools mainly focus on optimizing one component in urban areas and fail to consider complex interactions in interconnected infrastructures. This study introduces a compound optimization methodology that optimizes the energy system in connection with urban morphology and electric vehicle (EV) charging demands. In this regard, the energy demand of five multi-functional urban neighborhoods is assessed and optimized considering 13 climate scenarios (2010–2099). Results showed a... (More)

Compound optimization of distributed energy systems, urban morphology, and the transportation network is crucial to improving the robustness of interconnected urban energy infrastructures and enhancing their resilience to extreme climate events. Available methods and tools mainly focus on optimizing one component in urban areas and fail to consider complex interactions in interconnected infrastructures. This study introduces a compound optimization methodology that optimizes the energy system in connection with urban morphology and electric vehicle (EV) charging demands. In this regard, the energy demand of five multi-functional urban neighborhoods is assessed and optimized considering 13 climate scenarios (2010–2099). Results showed a significant improvement in autonomy level and a notable reduction of infrastructure costs (over 40%) by linking these three sectors. It is also shown that energy demand can increase up to 17% in extreme weather conditions, leading to over 30% infrastructure costs.

(Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Climate resilience, Energy system, Extreme events, Sustainable city, Urban morphology
host publication
Proceedings of the 5th International Conference on Building Energy and Environment
series title
Environmental Science and Engineering
editor
Wang, Liangzhu Leon ; Ge, Hua ; Ouf, Mohamed ; Zhai, Zhiqiang John ; Qi, Dahai ; Sun, Chanjuan and Wang, Dengjia
pages
11 pages
publisher
Springer Science and Business Media B.V.
conference name
5th International Conference on Building Energy and Environment, COBEE 2022
conference location
Montreal, Canada
conference dates
2022-07-25 - 2022-07-29
external identifiers
  • scopus:85172733340
ISSN
1863-5539
1863-5520
ISBN
9789811998218
DOI
10.1007/978-981-19-9822-5_292
language
English
LU publication?
yes
additional info
Funding Information: This research work was partially supported by the SAFE project as part of the BRIDGE programme by the Swiss Innovation Agency (Innosuisse) [187149]. Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
id
b6f2f38b-ffa3-41a1-aacd-760d12cc1a8d
date added to LUP
2023-10-09 09:22:43
date last changed
2025-04-19 13:11:17
@inproceedings{b6f2f38b-ffa3-41a1-aacd-760d12cc1a8d,
  abstract     = {{<p>Compound optimization of distributed energy systems, urban morphology, and the transportation network is crucial to improving the robustness of interconnected urban energy infrastructures and enhancing their resilience to extreme climate events. Available methods and tools mainly focus on optimizing one component in urban areas and fail to consider complex interactions in interconnected infrastructures. This study introduces a compound optimization methodology that optimizes the energy system in connection with urban morphology and electric vehicle (EV) charging demands. In this regard, the energy demand of five multi-functional urban neighborhoods is assessed and optimized considering 13 climate scenarios (2010–2099). Results showed a significant improvement in autonomy level and a notable reduction of infrastructure costs (over 40%) by linking these three sectors. It is also shown that energy demand can increase up to 17% in extreme weather conditions, leading to over 30% infrastructure costs.</p>}},
  author       = {{Javanroodi, Kavan and Perera, Amarasinghage T.D. and Nik, Vahid M. and Scartezzini, Jean Louis}},
  booktitle    = {{Proceedings of the 5th International Conference on Building Energy and Environment}},
  editor       = {{Wang, Liangzhu Leon and Ge, Hua and Ouf, Mohamed and Zhai, Zhiqiang John and Qi, Dahai and Sun, Chanjuan and Wang, Dengjia}},
  isbn         = {{9789811998218}},
  issn         = {{1863-5539}},
  keywords     = {{Climate resilience; Energy system; Extreme events; Sustainable city; Urban morphology}},
  language     = {{eng}},
  pages        = {{2739--2749}},
  publisher    = {{Springer Science and Business Media B.V.}},
  series       = {{Environmental Science and Engineering}},
  title        = {{Towards Resilient Interconnected Urban Infrastructures : The Nexus Between Energy System, Urban Morphology, and Transportation Network}},
  url          = {{http://dx.doi.org/10.1007/978-981-19-9822-5_292}},
  doi          = {{10.1007/978-981-19-9822-5_292}},
  year         = {{2023}},
}